Ming Huang's Homepage
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Datasets and Algorithm Codes

Datesets

1. Integrated Production and Distribution Scheduling Problem(IPDS)

Original Intention:
IPDS involves the optimization of production scheduling and distribution scheduling. Individually, production scheduling or distribution scheduling has been studied for a long time and has rich benchmark datasets and excellent solution algorithms. However, there is a paucity of benchmark datasets in IPDS studies. Due to the complexity and specificity of the problem, most studies have adopted randomly generated (or partially randomly generated) datasets for computational experiments, but few studies have published their test datasets for use and validation by other researchers. In order to provide a uniform benchmark for evaluating and measuring the performance of algorithms for the same and similar studies, we publish the used datasets and algorithms to facilitate the computational experiments of other researchers.

  • IPSVRP-BM&STW Dateset（🌟）
    （Beat Production Lines & Vehicle Routing Problem with Soft Time Window and Heterogeneous vehicles）
    DataSet：IPSVRP-BM&STW Dateset
    The paper proposing this dataset
    A blog introducing the formation process of this dataset
  • Fuzzy-IPDS Dateset（🌟）
    （Beat Production Lines & Vehicle Routing Problem with Soft Time Window and Heterogeneous vehicles & Fuzzy Travel time）
    DataSet：Fuzzy-IPDS Dateset
    The paper proposing this dataset
    A blog introducing the formation process of this dataset
  • IPSVRP-STW&FTT Dateset（🌟）
    （Beat Production Lines & Soft Time Window & A limited number of Muti-trip Heterogeneous & Fuzzy Travel time）
    DataSet：IPSVRP-STW&FTT Dateset
    The paper proposing this dataset
    A blog introducing the formation process of this dataset

2. Datasets of other researchers

Algorithm Code

  1. HCF-IMOEA Matlab code （🌟）
    This paper HTML proposing this algorithm
  1. NSGA-II-AVNS Matlab code （🌟）
    This paperHTML proposing this algorithm
  1. KDCEA Matlab code （🌟）
    This paper HTML proposing this algorithm